22 papers · ranked by Valyu relevance
Seungjun Lee, Daegun Yoon, Sangho Yeo, Sangyoon Oh + 4 more
As Artificial Intelligence (AI) is becoming ubiquitous in many applications, serverless computing is also emerging as a building block for developing cloud-based AI services. Serverless computing has received much interest because of its simplicity, scalability, and resource efficiency. However, due to the trade-off…
Larissa Schmid, Marcin Copik, Alexandru Calotoiu, Laurin Brandner + 2 more
'Anne Koziolek' 'Torsten Hoefler'] Abstract—Serverless computing has emerged as a prominent paradigm, with a significant adoption rate among cloud customers. While this model offers advantages such as abstraction from the deployment and resource scheduling, it also poses limitations in handling complex use cases due to…
Xiaoxiang Shi, Chao Li, Zijun Li, Zihan Liu + 4 more
'Quan Chen' 'Jingwen Leng' 'Minyi Guo'] The Serverless Computing is becoming increasingly popular due to its ease of use and fine-grained billing. These features make it appealing for stateful application or serverless workflow. However, current serverless workflow systems utilize a controlflow-based invocation pattern…
Zijun Li, Chuhao Xu, Quan Chen, Jieru Zhao + 2 more
Serverless computing that runs functions with auto-scaling is a popular task execution pattern in the cloud-native era. By connecting serverless functions into workflows, tenants can achieve complex functionality. Prior researches adopt the control-flow paradigm to orchestrate a serverless workflow. However, the…
Ling-Hong Hung, Niharika Nasam, Wes Lloyd, Ka Yee Yeung
Singe cell RNA sequencing (scRNA-seq) has become a routine method for measuring cell activities. Processing large scRNA-seq datasets requires high-performance computing resources. The emergence of cloud computing allows us to leverage its on-demand capabilities without major investment in infrastructure. Serverless…
Valerio Besozzi, Matteo Della Bartola, Patrizio Dazzi, Marco Danelutto
The widespread deployment of large-scale, compute-intensive applications such as highperformance computing, artificial intelligence, and big data is leading to convergence between cloud and high-performance computing infrastructures. Cloud providers are increasingly integrating high-performance computing capabilities…
Filip Mikina, Paweł Żuk, Krzysztof Rzaḑca
Serverless clouds promise efficient scaling, reduced toil and monetary costs. Yet, serverless-ing a complex, legacy application might require major refactoring and thus is risky. As a case study, we use Airflow, an industry-standard workflow system. To reduce migration risk, we propose to limit code modifications by…
Ling-Hong Hung, Niharika Nasam, Chris Biju, Wes Lloyd + 1 more
Singe cell RNA sequencing (scRNA-seq) has become a routine method for measuring cell activities. Processing large scRNA-seq datasets requires high-performance computing resources. The emergence of cloud computing allows us to leverage its on-demand capabilities without major investment in infrastructure. Serverless…
Kamal Choudhary
SLMat is a serverless, browser-based toolkit that revolutionizes computational materials science by offering a scalable and efficient alternative to traditional server-based platforms like Google Colab. By eliminating the need for server management and providing persistent setups, SLMat enhances productivity and…
Urooba Shahid, Ghufran Ahmed, Shahbaz Siddiqui, Junaid Shuja + 4 more
Function as a Service (FaaS) is highly beneficial to smart city infrastructure due to its flexibility, efficiency, and adaptability, specifically for integration in the digital landscape. FaaS has serverless setup, which means that an organization no longer has to worry about specific infrastructure management tasks…
Jody Clements, Cristian Goina, Philip M. Hubbard, Takashi Kawase + 4 more
Neuroscience research in Drosophila is benefiting from large-scale connectomics efforts using electron microscopy (EM) to reveal all the neurons in a brain and their connections. In order to exploit this knowledge base, researchers target individual neurons and study their function. Therefore, vast libraries of fly…
Jacob Bradford, Divya Joy, Mattias Winsen, Nicholas Meurant + 5 more
Organisations are challenged when meeting the computational requirements of large-scale bioinformatics analyses using their own resources. Cloud computing has democratised large-scale resources, and to reduce the barriers of working with large-scale compute, leading cloud vendors offer serverless computing, a…
José Manuel Ortega Candel, Francisco José Mora Gimeno, Higinio Mora Mora
'Higinio Mora Mora'] Denial of Wallet (DoW) attacks refers to a type of cyberattack that aims to exploit and exhaust the financial resources of an organization by triggering excessive costs or charges within their cloud or serverless computing environment. These attacks are particularly relevant in the context of…
Ming Li, Jianshan Zhang, Jingfeng Lin, Zheyi Chen + 5 more
'Stefan Nastic' 'Patrizio Dazzi' 'Konstantinos Tserpes' 'Sashko Ristov'] The emerging serverless computing has become a captivating paradigm for deploying cloud applications, alleviating developers’ concerns about infrastructure resource management by configuring necessary parameters such as latency and memory…
Daniel P. Ramirez-Echemendia, Luís Borges-Araújo, Chelsea M. Brown, Riccardo Alessandri + 3 more
The Martini coarse-grained force field is widely used for biomolecular simulations by a large and rapidly expanding community worldwide. Over time, the development of Martini parameters, tools, and documentation has become increasingly dispersed across numerous research groups, leading to fragmentation and making it…
Patrick McKeever, Varun Mittal, Bryce Fukuda, Ka Yee Yeung + 1 more
The exponential growth of omics data requires novel strategies for storage, transfer, and processing of said data. We present a scheduler based on the Temporal.io workflow framework which enables two key optimizations of bioinformatics workflows. Firstly, we enable users to transparently map workflow steps to diverse…
Yu Liu, Fu Li, Chenhao Sun, Kübra Seyhan
Serverless architecture simplifies application development and operation, but its permission control model based on static execution roles struggles to adapt to highly dynamic runtime environments, which can easily lead to the risk of permission and key leakage. To address this challenge, this article proposes a…
Mahnoor Zulfiqar, Michael R. Crusoe, Birgitta König-Ries, Christoph Steinbeck + 2 more
Scientific workflows facilitate the automation of data analysis tasks by integrating various software and tools executed in a particular order. To enable transparency and reusability in workflows, it is essential to implement the FAIR principles. Here, we describe our experiences implementing the FAIR principles for…
Authors not listed
Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…
J. Harry Moore, Matthias R. Bauer, Jeff Guo, Atanas Patronov + 2 more
We present Icolos, a workflow manager written in Python as a tool for automating complex structure-based workflows. Icolos can be used as a standalone tool, for example in virtual screening campaigns, or can be used in conjunction with deep learning-based molecular generation facilitated for example by REINVENT, a…
Eftychia Eva Kontou, Axel Walter, Timo Sachsenberg, Tilmann Weber + 5 more
Metabolomics experiments generate highly complex datasets, which are time and work-intensive, sometimes even error-prone if inspected manually. Therefore, new methods for automated, fast, reproducible, and accurate data processing and dereplication are required. Here, we present UmetaFlow, a computational workflow for…
Peter Kraus, Edan Bainglass, Francisco F. Ramirez, Enea Svaluto-Ferro + 7 more
Compliance with good research data management practices means trust in the integrity of the data, and it is achievable by a full control of the data gathering process. In this work, we demonstrate tooling which bridges these two aspects, and illustrate its use in a case study of automated battery cycling. We…